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A NNALES DE L ’I. H. P., SECTION B

C ARLO B OLDRIGHINI

R OBERT A. M INLOS

A LESSANDRO P ELLEGRINOTTI Interacting random walk in a dynamical random environment. II. Environment from the point of view of the particle

Annales de l’I. H. P., section B, tome 30, n

o

4 (1994), p. 559-605

<http://www.numdam.org/item?id=AIHPB_1994__30_4_559_0>

© Gauthier-Villars, 1994, tous droits réservés.

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(2)

Interacting random walk

in

a

dynamical random environment

II. Environment from the point of view of the particle

Carlo BOLDRIGHINI

(*)

Robert A. MINLOS

(*)

Alessandro PELLEGRINOTTI

(*)

Dipartimento di Matematica e Fisica, Universita di Camerino, Via Madonna delle Carceri, 62032 Camerino, Italy.

Moscow State University, Moscow, Russia.

Dipartimento di Matematica, Universita di Roma La Sapienza,

P. A. Moro 2, 00187 Roma, Italy.

Vol. 30, 4, 1994, p. 559-605. Probabilités et Statistiques

ABSTRACT. - We

consider,

as in

I,

a random walk

Xt

E E

Z+

and a

dynamical

random

field ~ (x),

x E Z" in mutual interaction with each other. The model is a

perturbation

of un

unperturbed

model in which walk and field evolve

independentently.

Here we consider the environment process in a frame of reference that moves with the

walk, i.e.,

the "field from the

point

of view of the

particle" ~t (.) == çt (Xt +.).

We prove that its distribution

tends,

as t -~ oo, to a

limiting

distribution tc, which is

absolutely

continuous with

respect

to the

unperturbed equilibrium

distribution. We also prove

that, for v &#x3E; 3,

the time correlations of the field

decay

as

e-cxt

const

20142014.

.

Key words: Random walk in random environment, mutual influence, environment from the

point of view of the particle.

(*) Partially supported by C.N.R. (G.N.F.M.) and M.U.R.S.T. research funds.

A.M.S. Classification : 60 J 15, 60 J 10.

Annales de l’lnstitut Henri Poincaré - Probabilités et Statistiques - 0246-0203

Vol. 30/94/04/$ 4.00/@ Gauthier-Villars

(3)

560 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

On considere un chemin aleatoire

Xt

E E

Z+

et

un milieu aleatoire

dynamique çt (x), x

E Z" en interaction mutuelle.

Le modele est une

perturbation

d’un modele

imperturbe,

dans

lequel

le chemin aleatoire et le milieu evoluent d’une

façon independante.

On

etudie ici le

proces

du milieu dans un

repere qui

se

deplace

avec le

chemin

aleatoire,

c’ est-a-dire le « milieu du

point

de vue de la

particule »

r~t

( . ) (Xt +.).

On montre que la distribution

de T/t tend, pour t

-~ o0

a une distribution limite

qui

est absolument continue par

rapport

a la distribution

d’ équilibre

du milieu

imperturbe.

On montre aussi que le

premier

terme du

developpement asymptotique

des correlations

temporelles

du

champ ~t

est donne par const

t2 " e-at

.

1. INTRODUCTION

The

present

paper is second in a series of two papers. As in the

preceding

paper

[1] (hereafter

referred to as Part

I),

we

study

the time evolution of a

random walk

Xt

on the v-dimensional lattice Z" and a field

(environment) çt (x) :

x E

subject

to a mutual interaction of local character.

Time is

discrete, t

E

Z+,

and the field E Z" takes values in

a finite set S.

We

briefly

recall the main features of the

model,

and refer the reader to Part I for more details. The

assumptions

of the

present

paper which differ from those of Part I are listed in Section 2.

As a

starting point

we consider an

"unperturbed" model,

in which the random walk and the environment evolve

independently.

The random walk is

homogeneous

with transition

probabilities ~ Po (y) :

y E

7~v ~,

and the

evolution of the environment at each site is an

ergodic

Markov

chain,

with a

finite space state

S,

and stochastic

operator Qo = ~ qo (s, s’) : s,

s’ E

S ~,

the same for all sites. 7ro will denote the

unique stationary

measure of the

chain. The evolution at different sites is

independent.

For the

interacting

model the random walk transition

probabilities

are

written as

Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques

(4)

and the transition

probabilities

for the environment at the site x E Z" are

c ( . , . )

and

q ( . , . ) satisfy

some

compatibility conditions,

and e is a small

parameter.

Under some

general assumptions

we deduced in the paper

[2]

the local

central limit theorem for the

displacements

of the

particle.

In Part I

we studied the

asymptotic (in time) decay

of the correlations of the environment in a fixed frame of reference. The

present

paper is devoted to the

investigation

of the environment process in a frame of reference which

moves with the

particle, i.e.,

of the

process {~t : t

E

Z+}

defined as

qt

(x) _ ~t (Xt

+

x) (sometimes

called "field from the

point

of view of the

particle").

~t evolves as an infinite-dimensional Markov chain.

We prove for any dimension v

that,

as t ~ oo, the distribution

of ~t

tends to a

limiting

invariant distribution p, which is

absolutely

continuous

with

respect

to the invariant distribution

IIo

= of the environment in the

unperturbed

case

(e

=

0).

We also

study

the time

asymptotics

of the

(time)

correlations of the field for

v &#x3E;

3. We prove that the

leading

term is of the

type

const

e-at t- 2 .

The constant factor

depends

on the

initial

conditions,

whereas a E

(0, oo ) depends only

on the

parameters

of the model. This result should be

compared

with the

long

time tail of the correlations of the field in a fixed frame of

reference,

which was studied in

Part I. The different behavior is

explained by

the fact that in a fixed frame of reference the environment

process 03BEt by

itself is not Markov.

The methods used in the

proofs

are, as in the

previous

papers

[1] ]

and

[2],

based on the

spectral analysis

of the stochastic

operator (or

transfer

matrix) T

of the Markov

chain {~t : t

E

Z+}, acting

on the space

=

L2 (H, IIo).

Here H = is the state space of the field. The method of the

proof

is

based,

as in Part

I,

on the

analysis

of the

leading spectral subspaces.

The paper is

organized

as follows. Section 2 is devoted to the definition of the model and to the statement of the results. In Section 3 we prove the main technical theorem

(Theorem 3.1),

which

gives

the

decomposition

of J-l

in invariant

(with respect

to

T) subspaces.

Section 4 contain the

proofs

of

the

theorems,

which

rely

on the results of Section

3,

and Section 5 is devoted to some

concluding

remarks. In the

Appendix

we prove a technical lemma which is needed in the

proof

of Theorem 3.1.

Vol. 30, n° 4-1994.

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562 C. BOLDRIGHIM, R. A. MINLOS AND A. PELLEGRINOTTI

2. DEFINITIONS AND FORMULATION OF THE RESULTS The model is described in detail in Section 2 of Part

I,

to which we refer. We state here

only

the

assumption

which differ from the ones of

Part I.

Throughout

the paper we will write

(I n.m)

to denote formula

(n.m)

of Part I.

The which

plays

an

important

role in what

follows,

is defined

by (I 3.1 a).

Throughout

the paper we assume conditions

I,

II and III of Part I on

the random walk transition

probabilities,

and conditions IV and V on the transition

probabilities

of the random field. Condition VI on the

spectrum

of

Qo

is

replaced by

the

following

one.

VI*.

If I S ]

&#x3E; 2 the

spectrum

of

Qo

is such that

Condition VI* is the old condition VI

plus

the

assumption

that the

eigenvalue

is

nondegenerate (hence real,

since

complex eigenvalues

occur

only

in

conjugate pairs).

Further,

we assume Condition VII of Part I for the function c, but

replace

Condition VIII

by

the

following (stronger)

condition.

VIII*. The Fourier coefficients

of the inverse of the function

po (~) [eq. (I

2.3

d)] satisfy

the

inequality

Inequality (2.1 b) implies

the existence of a

spectral

gap

We now define the random field which will be studied in this paper, the

"environment from the

point

of view of the

particle".

This is the random field qt E E

Z+ given by

the relation

Annales de l’Institut Henri Poincaré - Probabilités et Statistiques

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For any bounded functional F on S2 we have for the conditional average

[with respect

to the distribution

(I 2.1)]

where

Py (. ~

is a

product

measure

qI

( s, s’ ) ,

s,

s’

E S

being

the matrix elements of the matrix

Qi

defined

in eq.

(I 2.5b).

The conditional average

(2.2b)

does not

depend

on

Xt-i,

and we can consider it as an average over the Markov

field {

1]t

(y) },

with

transition

probabilities

The stochastic

operator

or transfer matrix T of this field is

defined,

as

usual, by

its action on the bounded functionals F on H :

We denote the average of a random variable

f

with

respect

to any

measure v

by ( f )",

and the correlations

by ( f, g ~" _ ( f g ~" - ( f )" ~ 9 ) ~.

We fix an initial distribution II of the field ~, induced

by

some initial

distribution II of the

field ç

for a fixed initial

position

xo =

Xo

of the

random walk. II is

simply

the shift of

fI by

xo.

Pn

denotes the distribution

on the space of

trajectories

of the Markov field

{ r~t :

t E

7L+ } generated by

the initial distribution II. From the definition

(2.3)

we

find,

for F as before

We shall also consider condition IX of Part I

(symmetry

of the random

walk).

For the

field 17

it

implies

the

following

statement, which may be considered as a new condition.

Vol. 30, n° 4-1994.

(7)

564 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

IX*.

Here,

as in Part

I,

V is the space reflection:

(V ~7) (x) _ ~ (-:c).

We need the

following

further

assumption

on the correlations of the initial measure II.

X*. The

spatial

correlations with

respect

to the distribution II of the vectors

{03A80393:

r E of the basis in H

[see (I 3.1a)] satisfy

the

following

cluster

inequality

Here denotes the multi-index with supp r

= ~ x ~

~y

(x)

=

j,

and

M, q

are two constants such that M &#x3E;

1,

and

q

E

(0, 1).

As in Part

I, by dA,

A c we denote the minimal

length

of the

connected

graphs which join

all

points

of the set A.

We now formulate the main results of our paper. We understand

throughout

that condition I-IX are the ones of Part I. Conditions introduced in the

present

paper are denoted

by

a star.

THEOREM 2.1. - Let t E

l~+

denote the

family o,f’measures generated by

the Markov process r~t with =

II,

and assume conditions

I-V, VI*,

VII and VIII*.

Then,

as t ~ ~, the measures tend

weakly

to an

invariant measure p, which is

absolutely

continuous with

respect

to the

independent

measure

no.

Moreover there are

positive

constants cl and

q

E

(0, 1)

such that

Remark 2.1. -

Inequality (2.4) implies

that Condition X* above holds for the invariant measure J1 as well.

In Theorem 2.1 Condition VI* could be

replaced by

the weaker Condition

VI,

at the cost of a

longer proof.

We shall indicate below how it can be done.

The other result concerns the behavior of the time correlations of the

field,

Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques

(8)

for which we write down the

precise asymptotics.

Consider the correlation

where x1, x2 are two fixed

points.

THEOREM 2.2. - Let

v &#x3E; 3,

and add conditions IX* and X * to the

hypotheses of

Theorem 2.1.

Then,

as t --~ oo,

where a &#x3E; 0 is a constant

depending only

on the

parameters of

the model

and the constant C

depends

in addition on

f 1, f 2 ,

x 1, x2, and II.

By

Remark 2.1 the invariant measure ~c satisfies the conditions of Theorem

2.2,

so that the

equilibrium

time correlations for the measure p

are also of the

type (2.6).

3. EXISTENCE AND PROPERTIES OF THE INVARIANT SUBSPACES

3.1. More notation and

preliminary

results

In what follows we denote

by

const any absolute constant,

independent

of c.

The action

of T

on the basis

functions {03A80393 : 0393 ~ 203C0} is given by

Here

Aj (x)

r is the multi-index obtained

by replacing

the

value, (x)

of r

at x

with j, leaving

all the other

values, (~), ~ 7~ ~ unchanged.

is the

unperturbed operator

Vol. 30, nO 4-1994.

(9)

566 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

and the coefficients

L ( ... )

are

given by

Here we have used the

equality Aj ( - y )

F

+ y

=

Aj (0) (F

+

y ) ,

and the

coefficients cj

(y), qj’j ,

and

bjm,

m’ are the coefficients of the

expansions

in

the

basis (

of the functions c

(u, s), 03A3 q (s, s’)

ej

(s’)

and ek

(s) em (s) , respectively [see (I 2.6f)].

Note that co

(u)

= 0

and q0k

=

0,

which

implies L(0, j; u)

= Cj

{u) .

We shall write T =

is translation invariant whereas T is not.

LEMMA 3.1. - T and 0 are bounded linear

operators

on ?-~.

Proof. - By

eqs.

(3.1a, b, c)

we have

where we use the notation

Recalling

the

expression (I 3.1b)

of the scalar

product

in

H,

we have

Setting,

for fixed y, F* =

T"

+ y, =

f r~ _y,

we have

Annales de l’lnstitut Henri Poincaré - Probabilités et Statistiques

(10)

where the

operator

is defined

by

the

position

The

proof

that

T (y)

is a bounded

operator

is done

exactly

as in Lemma A.I

of

[2],

and

since II by

translation invariance of the norm, and the sum is over the finite

set I y ] D,

it follows that T is a bounded

operator

in H. The

proof

that A is bounded is an easy consequence.

Lemma 3.1 is

proved..

As in Part I we

consider,

for M &#x3E; M* -

max {max|ej (s)|, 2 },

the

s

dense

subspace HM

C

~-l,

with

norm ] ] ~~M

defined

by (I 3.5a).

By

the definition

(I 3.1a)

of the basis

{ ~r }

it is easy to see that the

following inequalities

between norms hold

where II

m

sup ~/ (~) ~ ]

denotes the supremum norm

of f.

For the space

HM

we state the

analogue

of Lemma 3.1.

LEMMA 3.2. -

(i)

The

operators

T and 0394 are bounded on

HM . (ii) HM

is invariant under T.

Proof. -

It is the same as the

proof

of the

analogous

Lemma 3.4 in

[2] ..

We denote

by

the set of the

equivalence

classes of multi-indices which differ

only by

a shift.

Let (

E and

F E (be

a

representative

of the class

(.

Since

is translation

invariant,

the

subspace consisting

of the vectors

is invariant under It is easy to see that

Hence the

spectrum

of the

operator x ~

coincides with the range of the function Note that does not

depend

on the choice of

the

representative r

E

(.

We denote

by x°

the space

~C~ when (

is the

class of

equivalence

of the multi-indices F which contains

(defined

in

Vol. 30, n° 4-1994.

(11)

568 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

Condition X*

of § 2).

Condition VIII*

implies

that the

spectrum

of

in the space

~C°

is

separated

from the

spectrum

of

2~°

in

~-C B ?-~o .

3.2. Construction of the invariant

subspaces

The main result of this section is the

following

theorem.

THEOREM 3.1. - Under the

assumptions I-V, VI*, VII,

and

VIII*,

and

for ~

small

enough

the

following

assertions hold.

(i)

One can

find

two

subspaces of ~-C, ~1

and

~nC2,

invariant with respect

to the

operator T,

such that

being

the space

of

the constants.

(ii)

In the space one can

find

a

basis ~ hz ,

z E on which the

operator T1 ~ T

acts

according

to the

formula

Moreover

p (y)

is real and

given by

the relation

and, for

some q E

(0, 1),

the

following inequalities

hold

(iii)

The norms

of

the restrictions

of

T to the

subspaces

and

(endowed

with the

norm ~ ~ . ~ satisfy respectively

the estimates

iv)

Under the additional condition IX*

p (y)

is an even

function of

y E ~".

Remark 3.1. - The

decomposition (I 3.2)

of the

space ~

in a direct

integral

of the

eigenspaces

of the group of

translations {Uv : v

does not reduce the

operator T,

since for c &#x3E; 0 T does not commute with

Annales de l’lnstitut Henri Poincaré - Probabilités et Statistiques

(12)

the space shifts. This is

why

an additional sum appears in

(3.4a),

and we

had to assume

inequality (2.1c)

in Condition VIII*.

Remark 3.2. - If we have condition

VI,

instead of

VI*, i.e.,

the

eigenvalue ~ 1

has a

multiplicity s

&#x3E;

1,

Theorem 3.1 holds with some

obvious

changes. Namely

the basis in the space will be labeled

by

two E

ll v , i = 1, ... , s ~ .

Moreover the

operator T |H(1)M ~ T1

in this basis will act as follows

M

where

and the matrix

elements {03B4ij (u)}, and {Sij (z, y)} satisfy

estimates

analogous

to

(3.4c).

Proof of

Theorem 3.1. - The

proof

makes use of the same ideas as the

analogous proof

in section 3 of

[2].

It is based on several

lemmas,

which

are stated and

proved

in the rest of the

present

section.

We shall first find the invariant

subspace

and then obtain

Hi

as

the closure of in H.

For c = 0 we have

clearly

~C = ~-lo ~-- ~C° + ~‘~C2 ,

~i, M + ~2 ~

M,

~° l,,l = ?-~C° n ~-~CM 2 = 1,

2.

Here

Ho

is the space of the constants,

?-~°

was defined above and

Hg

is

the

(closed) subspace spanned by

the

functions {03A80393:

1 r E

g2}, g2 being

the set of the multi-indices r with

either supp h ~ ]

&#x3E; 1

or supp r ~ [

= 1

but 03B3 (x) ~

1 for x E supp r.

It is convenient for the moment to set

so that

HM

=

H01,

M + M, and T

(as

an

operator

on is written

as an

operator

matrix

Vol. 30, nO 4-1994.

(13)

570 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

where the

operators Ti~

act as follows:

Tll :

~ -~ ~,

,

~21 :

~

-~ ~ l°~M, T22 :

The

space , is

spanned by

the . : x E

and 03A80.

i

We first

study

the inverse of the

operator T~l

in the space l,,l.

is defined in Condition X* of Section

2.)

We introduce for

brevity

the

notation ~pz

= ~ riz ~ ,

and we will allow z to take the value

0 :

cpo =

Wj.

For the indices of the matrix elements of

operators

on

~l°

we shall also write z instead of

LEMMA 3.3. - The

operator T11

= T

~~a

is invertible in and

1, M ,

its inverse is

given by

,

where the

operator

D has the

following properties:

for

some 0 E

(0, 1).

Proof. -

The

operator 7n

can be written as

and,

as it follows from formulas

(3.1 a, b, c) 7n

can be written as a matrix

(corresponding

to the

decomposition

=

Ho

+

~C°, ~ )

where

Its inverse is

represented by

the matrix

with

Annales de l’lnstitut Henri Poincaré - Probabilités et Statistiques

(14)

and R is

given by

a series

where in the

running

term of the sum the

product R

is

repeated k

times. From

eq. (3.8d)

we

get

const

Bf x-~ ~

I for some

0 E

(0, 1). Inserting

the

expression

for

7Z given by (3.8b)

one

easily

finds the estimate

One finds also that

This proves Lemma 3.3..

We look for an invariant

subspace

of the form

where S : --~

?nC°, ~

is an unknown

operator.

The invariance condition for leads to

the following equation

for S

[which

is

analogous to eq. (I 3.6c)] :

JC is considered as

acting

on the space

A (?-L°, ~ , ?nC°, ~ )

of the maps from

to

?nC°,

~, endowed with the

operator

norm.

Equation (3.9b)

has a

unique solution,

as stated

by

the

following

lemma.

LEMMA 3.4. -

If ~

is small

enough

one can

find

a number K0 &#x3E; 0 such that the map lC is a contraction in the

sphere of

radius ~o centered at the

origin of

the space

A (~C°

M,

~C° ~ ) .

Proof -

We denote with

Sz,

r the matrix elements of the

operator

S.

By equations b, c)

we see that

(~21 )o, r

=

0,

and for z E 7~v

For

(T12 ) r, z

we

have,

if

supp r = ~ ~c ~,

Vol. 30, n° 4-1994.

(15)

572 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

and if supp r

= ~ u ~

U

{ v },

and z E Z"

= 0 in all other cases.

For the norms of the

operators appearing

in

equation (3.9b)

we have

where the constants

Ci, j, i, j

=

1,

2

depend

on the

parameters

of the model and on M.

(3.12a)

comes from Lemma

3.3, by observing

that

Inequalities (3.12b, c)

are

easily derived, using

the

explicit expressions (3.10), (3.1 la, b)

and

(3.12d)

follows

by observing

that for ~ =

0, ?22

with ( T° ~ ~ _

~c*, and that

~-1 (~22 -

is a bounded

operator (Lemma 3.2).

By inequalities (3.12a, b,

c,

d)

and Condition VIII*

[inequality (2.1b)],

we see that the second term on the

right-hand

side of eq.

(3.9b)

is

bounded,

for small c,

by ~3 ( ( S ( ~,

where

/3

E

(0, 1).

Since the other two terms are

of order c

and ~ ~S~ 112 respectively,

K is a contraction in any

sufficiently

small

sphere

of Lemma 3.4 is

proved..

Hence there is a

unique S,

solution of eq.

(3.9b)

and the space defined

by

eq.

(3.9a)

is invariant with

respect

to T. Since M &#x3E;

1,

it is not difficult to see that

Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques

(16)

The Banach space of the elements of

A (~‘~C°,

~,

~C2, ~)

with the norm

( M

is denoted

by AM.

The solution S

of equation (3.9b)

is

actually

in

AM,

as it follows from the

following

lemma.

LEMMA 3.5. - The

right-hand

side

of equation (3.9b) defines

a map

AM ~ AM,

and

for ~

small

enough

one can

find

a

positive

number R

so small that

J’CM

is a contraction in the

sphere of

radius ~ centered at the

origin of AM.

Proof. -

We

have, by inequalities (3.12a, b,

c,

d)

For the second term, which is the

leading

one, we have

where

/3

E

(0, 1 ) .

The conclusion follows as for the

preceding

lemma..

Hence there is a

unique

solution of eq.

(3.9b),

which coincides

with the

previous

one. , We introduce a basis in

by setting

The action of T on the new basis is

given by

the

following

formulas

Vol. 30, nO 4-1994.

(17)

574 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

We need to prove a

property

of fast

decay

as z,

z’

-~ o0 of the matrix elements

Az,

z~ . To this

aim,

we use the fact

that,

as it was

proved

in

[3],

S can be written as a series

where the summation goes over all sequences of

pairs

ai =

(si, qj),

Si, qi E

Z+,

and x~l, ", , ar are real numbers

(see [3]).

We first prove the convergence of the series.

LEMMA 3.6. - For ~ small

enough

the series

(3.16a)

converges in the

norm

of AM.

Proof. - By reasoning exactly

as in the deduction of

inequality (3.13a)

we find

and,

in

analogy

with the deduction of

inequality (3.13b),

we find

where,

as

before, by [ [ . [ we

denote the

operator

norm of

722 :

~(o~

2, M.

Now, by

Lemma

3.3, expanding

the power

(Tl 1 ) -S

=

( (~° ) - ~ -f- ~ D) s,

we find

where

(18)

and

D(q)

is written as a sum of

products.

The

function

which is

the Fourier transform of

(T011)-1,

is

analytic

in some

complex neighborhood Wd

=

{ A : ~ d,

z =

1,... ,~ }

of the torus

T",

if d is

sufficientely small,

and satisfies in

Wd

the

inequality

where r

( ~c) , u

E Z" are the Fourier coefficients

(2. la),

and the

quantity

r~

is small for small d. It is easy to see that the Fourier transforms

are

analytic

for

~,

~’ E

Wd. Using

the

inequality (1

+

x)s -

1

x 2

( 1

+

x 2 ) s ,

we find

where ci, c2 are constants

independent

of s.

[Note that, by

formula

(3.8c)

we have

( ~11 ) oo

= 1 and

= 0, z

E Z" U

0.] ]

In

computing

the

Fourier coefficients we can now shift the

integration region

in the

complex region Wd,

and we

get

from

(3.19), (3.20a, b) (maybe by redefining r~)

the relations

Relations

(3.21) imply

..u C L- .. - ..

where c is a constant

independent

of s. From

(3.17), (3.12d), (3.22)

we find

Vol. 30, nO 4-1994.

(19)

576 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

whence

r r

where Sr

=

Y~

Si and

Qr

=

1 1

From the

analysis

in paper

[3]

it follows that xai, ... , ~r = ~ if and that

where ws, r are the coefficients of the

expansion

of the solution w

(z, ()

of the

equation

By looking

at the

singularities

in the

complex z-plane

of the solution of the

quadratic equation (3.24b)

it is not hard to see that the radius of convergence of the power series in z of w

((, z)

tends to 1

as (

--~ 0. Since

in our

case ~ ~ ~ _ (C ~)2,

and the number

1

+ ~

C22 ) a + ~ is, by

Condition

VIII*,

less than I for e and d small

enough, B conclude

that

Condition

VIII*,

less than 1 for ~ and d small

enough,

we conclude that there is a

positive

number 6-0 such that

for, s

co,

(1+~ C22 ) (a + ~ |1|)

will be smaller than the radius of convergence

(in z)

of the series

(3.24a),

which

implies

absolute convergence in

AM

for the series

(3.16a).

Lemma 3.6 is

proved..

Remark 3.3. - Note that since and

T21 03A80

=

0,

it

follows that

0,

which

implies

~co =

~o~

Remark 3.4. -

Inequality (3.23b) implies [

const ~.

For what follows we need a more accurate

analysis

of the matrix elements of the

operator

S. What we need is

provided by

the

following

Lemma.

LEMMA 3.7. - The

following

relations hold

Annales de l’lnstitut Henri Poincaré - Probabilités et Statistiques

(20)

where the

functions

R and V

satisfy, for

some 8 E

(0, 1),

the estimates

Proof. -

The

proof

is rather

lengthy

and

requires

additional constructions.

It is deferred to the

Appendix..

By

Lemmas 3.5 and 3.7 we have

proved

that is invariant with

respect

to

T,

and that one can find in it a

basis {uz : z

E Z" U

0}

on

which T acts as in

(3.15a),

and the

coefficients ~ Az, z~ : z, z’

E Z" U

0 ~

are,

by (3.8a, b), (3.15b)

and

(3.25a),

To

accomplish

the

proof

of assertion

(ii)

of Theorem 3.1 we introduce in a new basis

and we show that the

sequence H

=

f Hz : z

E

7L" }

can be determined in such a way that

In

fact, by

eqs.

(3.15a)

and

(3.27a)

we have

and we can define H to be the solution of the

system

of

equations

Let

Bq, q

E

(0, 1)

be the space of the sequences H such that the norm

is finite. From formula

(3.15b),

Lemmas 3.3 and 3.7 it follows that for q &#x3E; 6~ the z’ E defines a bounded

operator A

in

Bq,

with

1, and, moreover {Az,0 :

z E E

Bq.

Vol. 30, n° 4-1994.

(21)

578 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

Hence there is a

unique

solution in

Bq

of the

system (3.28a). Moreover, by

formula

(3.26)

it is clear

II q ~ const

whence it follows that the same

inequality

holds for the solution of eq.

(3.28a).

By (3.27b)

the space

splits

into two invariant

subspaces:

the

subspace

of the constants

1-lo

=

{

c

ho } _ ~

c

~o }.and

the

subspace

which is

spanned by

the

basis {hz : z

E

7L" }. Setting

now

b (y)

= R

(y),

and

S (x, y)

=

y)

+

Vx,y, using

the estimates

(3.25b)

we

get

the

relations

(3.4a, b, c)

of Theorem 3.1.

We now prove

inequality (3.5a)

for the restriction of T to

Using

the

explicit expression (3.27a)

for the functions of the

basis { h,z },

Remark 3.4

and

inequality (3.28b)

we see that

where the constant is

independent

of ~ and z. For any vector v =

LV z h z

E

z

~CM , by susbstituting

the

explicit expression (3.27a)

of the functions

hz,

we find

whence, reasoning

as

above,

one

deduces,

for some ci &#x3E;

0,

Using (3.29), (3.30)

and the

inequality

H

which follows

easily

from

equation (3.26),

and Lemmas 3.3 and

3.7,

we

find,

for ~ small

enough

Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques

(22)

Inequality (3.5a)

is

proved.

We are left with the construction of the space

7-lM~.

We recall that in

[2]

we introduced a basis

{ 03A8*0393 :

r E in the

space H

=

0, ... , |S| - 1 }

is a basis in the space

l2 (8, given by

the normalized

eigenvectors

of the

operator

and

bi-orthogonal

to the

basis {ej : j

=

0, ..., |S| - 1}.

The r E is

bi-orthogonal

to the

basis {03A80393

1

r E

in H. We observe

furthermore

that the

matrix {T*0393.0393’} of

the

operator T*, adjoint of T,

in the basis r E is

the adjoint

of the

matrix { 7r, r~ ~

of the

operator

T in the

basis {03A80393,

r E

i.e.,

By applying

to the

operator

T* the same considerations as above we find

a

subspace

C

1-lM,

invariant with

respect

to

T*, which,

in

analogy

with

(3.9a),

is

given by

Here is the space

spanned by

the vectors

~po

and

{ cpz

:

z E

cpz = ~ ~~ z ~ ,

is defined in

analogy

to and the

operator

s* : is the space

spanned by

the vectors

~ ~ r :

r E

~2 ~ )

is defined in

analogy

to S. In the space we can choose a E Z" U

0 ~

of the form

~cz

==

cp;

+ ?* It is

not hard to see that

T* acts on the basis

{ ~cz ~

as follows

and,

in

analogy

with eq.s

(3.26),

= 1 and = 0 for all z E Z".

As above we can go over to a new basis in

and the

sequence {H*z, z

E is the solution of the

system

Vol. 30, n° 4-1994.

(23)

580 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

which, reasoning

as for eq.

(3.28a),

is in the space

Bg.

We

find,

as

above,

i. e.,

the space

* splits

into two invariant

(with respect

to

T* ) subspaces:

and *

being spanned by

the vectors

ho,

We denote

by

and the

subspaces

of ~-C obtained

by taking

the closure of the spaces * and

7~

* in the norm of ~.

They

are

invariant with

respect

to T* and for them a

decomposition analogous

to

(3.35)

holds.

We now come to the

proof

of the

reality

of the function

p (~/).

It follows

from the

reality

of the

operator

T

(i.e.,

from the fact that

T f

=

T f ),

and

the

reality

of the functions

( ~ )

= ei

( ~ ( z ) ) : z

E and

which,

in its turn, follows from Condition VIII*. This

implies

the

reality

of the

operators 7n, 7i2, T21,

and

?22.

In

fact,

consider for instance a real function

f

E

?-~°,

M . As T is

real,

T

f

=

?i2 f

+

?22 f

is

real,

and so is

T~12 f = L (T f, cpz)

~pz.

Hence

7i2

and

722

are real

operators. Analogous arguments

show that

7n

and

Tl2

are also real. This

implies, by equation (3.16a),

the

reality of S,

and hence the

reality

of the

basis {hz : z

E and of the matrix elements

Az,

z~ .

Since,

as it follows from estimate

(3.4c)

and formulas

(3.26), p (y)

= lim

Az,

z-y, is a real function.

If we now assume that the

symmetry

Condition IX*

holds,

it is not hard

to see that

Az, z~

=

Az~,

z. In

fact, by

the discussion of Condition IX in Part

I, Po ( y )

and cj

(y), j

=

1, ... ~ S ~ -

1 are

symmetric in y

E It

follows that the

operators 0~

defined

by

formula

(A.4)

of the

Appendix,

are also

symmetric

in yj. This

gives

the

required property

of the matrix

Az,

z~,

which,

with the

help

of

(3.26)

leads to the

symmetry

of the function

p ( y) .

Assertions

(ii)

and

(iv)

of Theorem 3.1 are

proved.

We now pass to the rest of the

proof.

We have

As a consequence of the

bi-orthogonality

of the

bases {

r e

m}

and {Wr :

r E

hj

is

orthogonal

to the

subspace ?-~1.

Moreover

ho

is

orthogonal

to the

subspace

In

fact, by

the invariance

of h*

with

respect

to T* we have

( ho , (E - T) v )

= 0 for any v E

?-~~ ,

where E

denotes the

identity operator. But, by inequality (3.5a) f - ~

is invertible

Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques

(24)

in

~‘~CM ,

which

implies

that

ho

1 v for any v E

~M .

Since is dense

in

Hi,

the assertion follows.

Next we construct the

bi-orthogonal

basis

to {hz : z

E

7~v ~. By

relations

(3.14), (3.26), (3.31)

and

(3.32)

we have

We introduce a new E in the space of the form

The matrix

.~ _ ~ .~’z, z~ ~

is chosen in such a way that

where 7* is the

adjoint

matrix of .~’.

In Lemma 3.8 below we prove that the

operator

C has a small norm in

Bq .

Hence

.~’,

which can be written as

exists as an

operator

on

Bq,

and has also small norm.

An easy check shows that the E is

bi-orthogonal

to the

basis {hz :

z E in

xl.

We now introduce the space

Clearly

this space is invariant with

respect

to

T,

and for any vector

f

we have a

unique decomposition

This last assertion can be

proved

as follows. We set

It is easy to see that

f(2)

1

ho

and

f(2)

1

?~Ci,

so that

f(2)

E

H2.

The

uniqueness

of the

decomposition (3.37a)

is evident.

This proves the

decomposition (3.3a).

To

accomplish

the

proof

we

have to prove the

analogous

assertion

(3.3b)

for

HM.

We have to show

Vol. 30, n° 4-1994.

(25)

582 C. BOLDRIGHINI, R. A. MINLOS AND A. PELLEGRINOTTI

that and

f t2~

are in and

~C~ , respectively,

for any

f

E

HM.

We

first need an estimate for the matrix elements

Sz, rand Sz

r.

LEMMA 3.8. - The

following

estimates hold

where q E

(0, 1 ) , Cl

is an absolute constant, and u is the element

of

the

set supp r which is closest to z. A similar estimate holds

for Sz,

r, z E

7~v,

and

finally

"

Proof. -

It is not hard to deduce the estimate

(3.38a) by analyzing

the

terms of the series

(3.16a, b),

much in the same way as it is was done in the

proof

of Lemma 3.7. As for

S*,

it can be

represented

in a

series,

which

is

simply

obtained

by replacing

in the series

(3.16a, b)

the matrix elements of the

operator

T with the elements of the

operator T*.

The estimates that

are needed are obtained as for S. We omit the details..

To prove that the

projection

of any vector

f

E

HM

on

H2

and

Hi belongs respectively

to or

~nC~ ,

and

inequality (3.5b)

we introduce

a basis in

H2 .

Consider the functions

_ - - -

which,

as it is easy to

check, belong

to the space

H2.

In addition we set

= uz, z e Z"

[see (3.14)],

and

Uj

= uj =

Wj.

i

LEMMA 3.9. - The

following

assertions hold.

(I)

The

functions ( Ur,

r e

C2 )

are in

H2,

M.

(ii) Any

vector

f

e

H M

is written as a series

which converges in the

and, for ~

small

enough,

we have

Annales de l’lnstitut Henri Poincaré - Probabilités et Statistiques

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